胸片在预测COVID-19患者是否需要呼吸机支持中的作用

G Patnayak, R Rastogi, L Khajuria, A Mohan, N Jain, R Varshney, V K Singh, V Pratap, S Pathak, A Jain, K Duggad
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引用次数: 1

摘要

背景:2019冠状病毒病(COVID-19)是一场持续两年多的大流行,其主要发病率和死亡率与肺部受累有关。胸部x线摄影是危重病人的主要成像工具。一级和二级医疗中心是在资源有限的情况下提供医疗服务的主要合作伙伴,但由于动脉血气分析的可用性有限,因此我们计划进行本研究。目的:评价胸片在预测COVID-19危重症患者需氧量/呼吸机支持中的作用。方法:这项以医院为基础的回顾性研究纳入了135例需要氧气/呼吸机支持且入院时胸片质量最佳的患者。对所有胸部x光片进行评估,并根据预先设计的形式计算严重性评分。采用适当的工具和方法对所得数据进行统计评价。结果:男性多于女性,平均年龄为54.35±14.49岁。在我们的研究中,超过72%的患者需要呼吸机支持,其余患者需要氧气支持。在我们的研究中,胸片严重性评分与SPO2 /PaO2水平有显著的统计学相关性。采用临界值>8的胸片严重程度评分预测Covid-19患者是否需要呼吸机支持,其敏感性、特异性和准确性分别为85.7%、92.5%和89.5%。结论:胸片仍然是COVID-19危重患者在多种生命支持系统下的主要影像学检查。虽然动脉血气分析是评估这些患者是否需要氧气/呼吸机支持的金标准工具,但入院时首次胸片获得的严重程度评分也可作为筛查工具。胸部x线摄影可以预测对氧气/呼吸机支持的需求,从而有时间将患者转移到适当级别的医疗保健中心,从而限制发病率和死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Role of chest radiograph in predicting the need for ventilator support in COVID-19 patients.

Background: COVID-19 disease, a pandemic for more than two years, has major morbidity and mortality related to pulmonary involvement. Chest radiography is the main imaging tool for critically ill patients. As the availability of arterial blood gas analysis is limited in the Level I and II healthcare centres, which are major partners in providing healthcare in resource-limited times, we planned the present study.

Objectives: To assess the role of chest radiography in predicting the need for oxygen/ventilator support in critically ill COVID-19 patients.

Methods: This hospital-based, retrospective study included 135 patients who needed oxygen/ventilator support and had optimal-quality chest radiographs at admission. All the chest X-rays were evaluated and a severity score was calculated on a predesigned pro forma. Statistical evaluation of the data obtained was done using appropriate tools and methods.

Results: Males outnumbered females, with a mean age of 54.35 ± 14.49 years. More than 72% of patients included in our study needed ventilator support while the rest needed oxygen support. There was a significant statistical correlation between the chest radiograph severity score and SPO2 /PaO2 levels in our study. Using a cut-off value >8 for the chest radiograph severity score in predicting the need for ventilator support in a Covid-19 patient, the sensitivity, specificity and accuracy was 85.7%, 92.5% and 89.5%, respectively.

Conclusion: Chest radiography remains the mainstay of imaging in critically ill COVID-19 patients when they are on multiple life-support systems. Though arterial blood gas analysis is the gold standard tool for assessing the need for oxygen/ventilator support in these patients, the severity score obtained from the initial chest radiograph at the time of admission may also be used as a screening tool. Chest radiography may predict the need for oxygen/ventilator support, allowing time for patients to be moved to an appropriate-level healthcare centre, thus limiting morbidity and mortality.

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来源期刊
African Journal of Thoracic and Critical Care Medicine
African Journal of Thoracic and Critical Care Medicine Medicine-Critical Care and Intensive Care Medicine
CiteScore
1.50
自引率
0.00%
发文量
30
审稿时长
24 weeks
期刊最新文献
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